19 citations · 38 across the 7 of their papers we have counts for
11 papers · 1 filter
Eventually Optimal and Scalable Multi-Agent Planning for Block Cave Mining
Christopher Leet, Paolo Forte, Uwe Köckemann +2
Automation in underground mining has the potential to significantly enhance safety, operational efficiency, and sustainability. However, effectively coordinating fleets of autonomo…
CFEAR-Teach-and-Repeat: Fast and Accurate Radar-only Localization
Maximilian Hilger, Daniel Adolfsson, Ralf Becker +2
Reliable localization in prior maps is essential for autonomous navigation, particularly under adverse weather, where optical sensors may fail. We present CFEAR-TR, a teach-and-rep…
Introspective Loop Closure for SLAM with 4D Imaging Radar
Maximilian Hilger, Vladimír Kubelka, Daniel Adolfsson +3
Simultaneous Localization and Mapping (SLAM) allows mobile robots to navigate without external positioning systems or pre-existing maps. Radar is emerging as a valuable sensing too…
Towards introspective loop closure in 4D radar SLAM
Maximilian Hilger, Vladimír Kubelka, Daniel Adolfsson +2
Imaging radar is an emerging sensor modality in the context of Localization and Mapping (SLAM), especially suitable for vision-obstructed environments. This article investigates th…
How-to Augmented Lagrangian on Factor Graphs
Barbara Bazzana, Henrik Andreasson, Giorgio Grisetti
Factor graphs are a very powerful graphical representation, used to model many problems in robotics. They are widely spread in the areas of Simultaneous Localization and Mapping (S…
CorAl: Introspection for Robust Radar and Lidar Perception in Diverse Environments Using Differential Entropy
Daniel Adolfsson, Manuel Castellano-Quero, Martin Magnusson +2
Robust perception is an essential component to enable long-term operation of mobile robots. It depends on failure resilience through reliable sensor data and preprocessing, as well…